package net.bwie.realtime.jtp.dws.log.job;

import net.bwie.realtime.jtp.dws.log.utils.AnalyzerUtil;
import org.apache.flink.configuration.Configuration;
import org.apache.flink.table.annotation.DataTypeHint;
import org.apache.flink.table.annotation.FunctionHint;
import org.apache.flink.table.api.EnvironmentSettings;
import org.apache.flink.table.api.Table;
import org.apache.flink.table.api.TableEnvironment;
import org.apache.flink.table.functions.TableFunction;
import org.apache.flink.types.Row;

import java.util.List;

public class JtpTrafficSearchKeywordMinuteWindowDwsJob {
    public static void main(String[] args) {
        TableEnvironment tabEnv = getTableEnv();

        createInputTable(tabEnv);

        Table requestTable = handle(tabEnv);

        requestTable.execute().print();

        createOutputTable(tabEnv);

//        saveToClickHouse(tabEnv, requestTable);
    }

    private static void saveToClickHouse(TableEnvironment tabEnv, Table requestTable) {
        tabEnv.createTemporaryView("request_table",  requestTable);

        tabEnv.executeSql("INSERT INTO dws_traffic_search_keyword_window_report_clickhouse_sink\n" +
                "SELECT\n" +
                "    DATE_FORMAT(window_start_time, 'yyyy-MM-dd HH:mm:ss') AS window_start_time,\n" +
                "    DATE_FORMAT(window_end_time, 'yyyy-MM-dd HH:mm:ss') AS window_end_time,\n" +
                "    keyword,\n" +
                "    keyword_count,\n" +
                "    ts\n" +
                "FROM request_table");
    }

    private static void createOutputTable(TableEnvironment tabEnv) {
        tabEnv.executeSql("CREATE TABLE dws_traffic_search_keyword_window_report_clickhouse_sink (\n" +
                "    `window_start_time` STRING COMMENT '窗口开始日期时间',\n" +
                "    `window_end_time` STRING COMMENT '窗口结束日期时间',\n" +
                "    `keyword` STRING COMMENT '搜索关键词',\n" +
                "    `keyword_count` BIGINT COMMENT '搜索关键词被搜索次数',\n" +
                "    `ts` BIGINT COMMENT '数据产生时间戳'\n" +
                ") WITH (\n" +
                "    'connector' = 'clickhouse',\n" +
                "    'url' = 'jdbc:clickhouse://node103:8123/jtp_log_report',\n" +
                "    'table' = 'dws_traffic_search_keyword_window_report',\n" +
                "    'username' = 'default',\n" +
                "    'password' = '',\n" +
                "    'format' = 'json'\n" +
                ")");
    }

    private static Table handle(TableEnvironment tabEnv) {
        Table searchLogTable = tabEnv.sqlQuery("SELECT\n" +
                "    page['item'] AS full_word,\n" +
                "        row_time\n" +
                "FROM dwd_traffic_page_log_kafka_source\n" +
                "WHERE page['item'] IS NOT NULL\n" +
                "AND page['last_page_id'] = 'search'\n" +
                "AND page['item_type'] = 'keyword'");
        tabEnv.createTemporaryView("search_log_table", searchLogTable);

        tabEnv.createTemporarySystemFunction("IkAnalyzerFunction",IkAnalyzerFunction.class);

        Table wordLogTable = tabEnv.sqlQuery("SELECT\n" +
                "    full_word,\n" +
                "    keyword,\n" +
                "    row_time\n" +
                "FROM search_log_table,\n" +
                "LATERAL TABLE (IkAnalyzerFunction(full_word)) AS T(keyword)");

        tabEnv.createTemporaryView("word_log_table", wordLogTable);

//        return tabEnv.sqlQuery("SELECT\n" +
//                "    TUMBLE_START(row_time, INTERVAL '1' MINUTES) AS window_start_time,\n" +
//                "    TUMBLE_END(row_time, INTERVAL '1' MINUTES) AS window_end_time,\n" +
//                "    keyword,\n" +
//                "    count(keyword) AS keyword_count,\n" +
//                "    UNIX_TIMESTAMP()* 1000 AS ts\n" +
//                "FROM word_log_table\n" +
//                "GROUP BY\n" +
//                "    TUMBLE(row_time, INTERVAL '1' MINUTES),\n" +
//                "    keyword");

        return tabEnv.sqlQuery("SELECT\n" +
                "    window_start AS window_start_time\n" +
                "    , window_end AS window_end_time\n" +
                "    , keyword\n" +
                "    , count(keyword) AS keyword_count\n" +
                "    , UNIX_TIMESTAMP() * 1000 AS ts\n" +
                "FROM TABLE(\n" +
                "  TUMBLE(TABLE word_log_table, DESCRIPTOR(row_time), INTERVAL '1' MINUTES)\n" +
                ")\n" +
                "GROUP BY window_start, window_end, keyword");
    }

    private static void createInputTable(TableEnvironment tabEnv) {
        tabEnv.executeSql("CREATE TABLE dwd_traffic_page_log_kafka_source\n" +
                "(\n" +
                "    `common` MAP<STRING, STRING> COMMENT '公共环境信息',\n" +
                "    `page`   MAP<STRING, STRING> COMMENT '页面信息',\n" +
                "    `ts`     BIGINT,\n" +
                "    row_time AS TO_TIMESTAMP(FROM_UNIXTIME(ts / 1000, 'yyyy-MM-dd HH:mm:ss.SSS')),\n" +
                "    WATERMARK FOR row_time AS row_time - INTERVAL '0' MINUTE\n" +
                ") WITH (\n" +
                "    'connector' = 'kafka',\n" +
                "    'topic' = 'dwd-traffic-page-log',\n" +
                "    'properties.bootstrap.servers' = 'node101:9092,node102:9092,node103:9092',\n" +
                "    'properties.group.id' = 'gid_dws_traffic_search_keyword',\n" +
                "    'scan.startup.mode' = 'earliest-offset',\n" +
                "    'format' = 'json',\n" +
                "    'json.fail-on-missing-field' = 'false',\n" +
                "    'json.ignore-parse-errors' = 'true'\n" +
                ")");
    }

    private static TableEnvironment getTableEnv() {
        //环境设置
        EnvironmentSettings settings = EnvironmentSettings.newInstance()
                .inStreamingMode()
                .useBlinkPlanner()
                .build();
        TableEnvironment tabEnv = TableEnvironment.create(settings);
        //配置属性设置
        Configuration configuration = tabEnv.getConfig().getConfiguration();
        configuration.setString("table.local-time-zone","Asia/Shanghai");
        configuration.setString("table.exec.resource.default-parallelism","1");
        configuration.setString("table.exec.state.ttl","5 s");
        //返回结果
        return tabEnv;
    }


    /**
     * FlinkSQL中自定义UDTF函数，使用IKAnalyzer分词器对搜索词进行分词
     https://nightlies.apache.org/flink/flink-docs-release-1.13/docs/dev/table/functions/udfs/#table-functions
     */
    @FunctionHint(output = @DataTypeHint("ROW<keyword STRING>"))
    public static class IkAnalyzerFunction extends TableFunction<Row> {
        public void eval(String fullWord) throws Exception {
            // 中文分词
            List<String> list = AnalyzerUtil.ikAnalyzer(fullWord);
            // 循环遍历输出
            for (String keyword : list) {
                collect(Row.of(keyword));
            }
        }
    }
}
